loading weights issue

[JoeHEZHAO]

Hi, I have downloaded yolo-tiny.weights and put it into folder 'weights'.

Then happens an ERROR: Using Theano backend. Traceback (most recent call last): File "RunTinyYOLO.py", line 194, in yoloNet = ReadTinyYOLONetWeights(os.path.join(os.getcwd(),'weights/yolo-tiny.weights')) File "D:\DeepLearningProgram\Darknet.keras-master\utils\TinyYoloNet.py", line 80, in ReadTinyYOLONetWeights l.biases = np.asarray(testArray[0][count]) IndexError: index 0 is out of bounds for axis 0 with size 0

And I check file 'TinyYoloNet.py', def 'ReadTinyYOLONetWeights', the 'testArray' variable is [] (null) with many many dtype.

What is the problem ??

[yongwoncho]

I have this problem. Did yo solve this problem?

[Walid-Ahmed]

I have the same problem

[sunshineatnoon]

this code is written for older version of YOLO weight, now the weight has updated to version 2.0, so the code is no longer working.

[Walid-Ahmed]

Thanks

any chance you will update the code ?

Walid

On 19 December 2016 at 10:37, SunshineAtNoon notifications@github.com wrote:

this code is written for older version of YOLO weight, now the weight has updated to version 2.0, so the code is no longer working.

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/sunshineatnoon/Darknet.keras/issues/5#issuecomment-267995311, or mute the thread https://github.com/notifications/unsubscribe-auth/AUBa5fCgqIm81WmXR6_X2ipqZihtzOQTks5rJqTVgaJpZM4Kmf1J .

[sunshineatnoon]

@Walid-Ahmed I'm sorry but I am too busy recently, and reading weights bite by bite is a nasty job. If you need a off the shelf object detection algorithm that is implemented in popular framework, I recommend SSD, it's implemented in caffe and has a re-implement version in MXNET.

[JoshGlue]

This is an old issue, but you can download the old weights at: http://pjreddie.com/media/files/yolo-tiny.weights . For me the code works when I load that weights-file.

[sunshineatnoon]

@JoshGlue Thanks, I've been looking for this weight for a long time.